A Smartphone-Based Non-Contact Living Skin Recognition Method Using YUV Image

• Main Authors: Ming-Wei Li, 李明偉
• Other Authors: Yuan-Hsiang Lin
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/366gc4

碩士 === 國立臺灣科技大學 === 電子工程系 === 106 === The detection of vital signs is the first step in first aid. OCHA (out-of-hospital cardiac arrest) patients will have agonal respiration when the heart stops beating. It makes people misjudge the situation of the patient. Current method of pulse checking is using fingers to touch the neck. However, even a professional medical staff cannot recognize it correctly in a short time. In order to provide the user with a livingness detector that can be carried around, we use the smartphone as a development platform. In this paper, we use novel non-contact pulse measurement techniques to calculate the pulse signal and implement it in smartphones which only supports YUV image. Detecting livingness by using characteristics of pulse signal, and there is an auto flashlight function which can add extra light source if the skin color is dark. It would increase the SNR(signal-to-noise ratio). The proposed method has only been validated in lab conditions but not in real clinical conditions. The accuracies are 100% and 94% in the fixed-holding and hand-held experiment, respectively. The result shows that the propose method outperforms recent studies.